Overlapping Parity Sector Processing for Data Detection Latency
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Solution Overview
Problem
Existing data processing systems face inefficiencies in error correction, particularly in iterative data processing systems, where failed data tracks often require reprocessing during gaps in normal processing periods, leading to increased latency and reduced system utilization.
Innovation Solution
The implementation of overlapping parity sector processing, where soft information for failed tracks is collected and stored during normal processing, allowing for parallel reprocessing with new tracks, enabling reprocessing during normal operation without delaying subsequent tracks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If failed data tracks are reprocessed during gaps in normal processing periods, then error correction is performed, but system utilization decreases and latency increases
Solution Approach 1:
The system performs preliminary actions by collecting soft information for failed tracks during normal processing periods before reprocessing is needed. This allows the reprocessing to occur without waiting for gaps in the processing schedule, thereby maintaining high system utilization while still performing necessary error correction.
Solution Approach 2:
The system maintains continuity of useful action by overlapping the reprocessing of failed tracks with the normal processing of new tracks. Instead of pausing normal operations to reprocess failed tracks, the system continues both operations simultaneously, ensuring continuous productive work and high system utilization.
2Reliability
If failed data tracks are reprocessed during gaps in normal processing periods, then error correction is performed, but latency increases
Solution Approach 1:
Soft information for failed tracks is collected preliminarily during normal processing periods, so that when reprocessing is needed, the system can proceed immediately without waiting for gaps in the processing schedule. This eliminates delays and reduces latency while maintaining error correction capability.
Solution Approach 2:
The system eliminates idle time by maintaining continuous useful action through overlapping reprocessing with normal processing. Failed tracks are reprocessed during normal operation periods rather than waiting for gaps, thereby reducing latency and preventing loss of time.
3Productivity
If overlapping parity sector processing is implemented, then system utilization increases and latency reduces, but processing complexity increases
Solution Approach 1:
The system segments the processing into distinct components: normal processing of new tracks and reprocessing of failed tracks. Each segment can be managed independently with its own resource allocation, making the overall complex system more manageable while still achieving high utilization through coordinated operation of segments.
Solution Approach 2:
The system uses soft information as an intermediary that is collected during normal processing and used during reprocessing. This intermediary data structure allows the system to coordinate overlapping operations without requiring complex real-time synchronization, thereby managing processing complexity while maintaining high system utilization.
Data Source
AI summary
An apparatus for processing data includes a data detector configured to detect data values in data sectors to yield detected data, a data decoder configured to decode the detected data, wherein the data detector and the data decoder are configured to process the data sectors in a series of global iterations, a memory configured to store parity sector soft information, and a scheduler configured to control overlapping reprocessing of a failed sector in the data detector and the data decoder based on the parity sector soft information with processing of another data sector in the data detector and the data decoder.